--- title: "Expert System - Phase 2 (Expression of interest)" ocid: "ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af.json" source: "Contracts Finder" current_stage: "Planning" buyer: "CARE QUALITY COMMISSION" published: "2018-10-26" --- # Expert System - Phase 2 (Expression of interest) Buyer: CARE QUALITY COMMISSION Current stage: Planning OCID: ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-f2c4dd9a-3fb7-428a-b76d-2cd3b1cae5af.json) ## Summary The Care Quality Commission (CQC) is currently in the planning stage for a procurement process titled "Expert System - Phase 2 (Expression of interest)", which aims to develop a decision support tool that leverages artificial intelligence for health and social care inspections across England. Interested suppliers have until 18 November 2018 to express their interest in this preliminary engagement, with the anticipated contract award taking place in January 2019. The procurement is categorised under analytical and scientific software development services, targeting various regions across the United Kingdom, including London and the North East. This procurement presents significant opportunities for businesses specialising in analytical, scientific, or forecasting software development, particularly those with expertise in artificial intelligence and ontology testing. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprise (VCSE) organisations are encouraged to consider participating, as the CQC is actively seeking innovative solutions to enhance its regulatory efficiency and effectiveness. Engaging with this tender could facilitate valuable partnerships in the health and social care sector, contributing to improvements in service quality across the country. ## Notice Pre-Notification of Requirement - Expert System Phase 2 PLEASE NOTE - THIS PRE- NOTIFICATION OF REQUIREMENTS THAT IS PROVIDED BELOW IS FOR PRELIMINARY REVIEW PURPOSES ONLY AND FOR INTERESTED SUPPLIERS TO EXPRESS INTEREST (EOI) TO A FUTURE OPPORTUNITY, AND MAY BE SUBJECT TO CHANGE PRIOR TO PUBLICATION OF THE FORMAL INVITATION TO TENDER CQC regulates the quality of care in health and social care in England. As part of our regulation we have an inspection programme covering tens of thousands of NHS and independent hospitals, GPs, dentists, care homes and other health and care providers. CQC aspires to become a more intelligence driven organisation, and target inspection resources more effectively. As part of its role, CQC rates providers as either Outstanding, Good, Requires Improvement or Inadequate. CQC has a regulatory duty to monitor health and social care providers' performance between inspections. Our 2016 to 2021 strategy sets out an ambitious vision: a more targeted, responsive and collaborative approach to regulation so more people get high-quality care. We are working to become more intelligence driven in our approach and seeking to develop a decision support tool using artificial intelligence that helps our inspectors decide what action to take on receipt of new information about a provider. We have developed a framework for this tool and are looking to test two aspects of this framework before making a business case for further investment. This proof of concept will focus on the statutory notifications that we receive in adult social care but we expect to be able to extend it to other information sources and sectors in time. We are seeking bids to develop and test an ontology that makes meaningful connections between notifications received over time, and classifiers that automatically tag notifications against this ontology. Some of these classifiers may need to be based on free text captured as part of the notification. We expect the bid to include details of a testing phase, for which we will provide a pool of inspectors able to ground truth the output of the combined ontology and automatic classification. If the concept is successfully demonstrated, then we will develop a business case for extending the system and making it operational. We expect to be able to base an extended system on the ontology and classifiers developed as a part of this project. The anticipated award of this contract will be January 2019. If your organisation would like to express an initial interest, please send an e-mail (quoting reference CQC PSO 181) to commercialcontracts@cqc.org.uk . When responding, please confirm your organisation's name, registered office address and contact details Additional information: It is envisaged CQC will be utilising its E-Tendering Portal for the eventual Tender exercise. Therefore, CQC kindly requests that organisations also register themselves on CQC's E-Tendering Portal via the following weblink: https://cqc-commercial.bravosolution.co.uk. Should you encounter any difficulties when registering on CQC's E-Tendering Portal, a dedicated helpdesk hosted by Bravo Solutions is available and can be contacted on 0800 368 4850. Should you experience any difficulties in accessing the documentation on Contracts finder please contact CQC Commercial and contracts team: commercialcontracts@cqc.org.uk ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/3e8aef4c-602d-4330-80e8-8b0007e4198d | | Notice type | Market Engagement Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | SME, VCSE | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 26 Oct 2018 | | Submission deadline | Not specified | | Future notice date | 18 Nov 2018 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planning | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | CARE QUALITY COMMISSION | | Locality | LONDON | | Post town | South West London | | Postcode | SW1W 9SZ | | Country | England | | ITL 1 | TLI London | | ITL 2 | TLI3 Inner London - West | | ITL 3 | TLI35 Westminster and City of London | | Local authority | Westminster | | Electoral ward | Pimlico North | | Westminster constituency | Cities of London and Westminster | | Delivery location | TLC North East (England), TLD North West (England), TLE Yorkshire and The Humber, TLF East Midlands (England), TLG West Midlands (England), TLI London, TLJ South East (England), TLK South West (England) | ## CPV Codes ### Divisions - 48 - Software package and information systems - 72 - IT services: consulting, software development, Internet and support ### Codes - 48460000 - Analytical, scientific, mathematical or forecasting software package - 72212460 - Analytical, scientific, mathematical or forecasting software development services - 72212461 - Analytical or scientific software development services ## Release History - 26 Oct 2018 at 14:59 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/3e8aef4c-602d-4330-80e8-8b0007e4198d ## Documents - https://www.contractsfinder.service.gov.uk/Notice/3e8aef4c-602d-4330-80e8-8b0007e4198d 26th October 2018 - Early engagement notice on Contracts Finder ## Notice URLs - https://cqc-commercial.bravosolution.co.uk ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. 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